RallyIQ

Game plan

Alexander Shevchenko v Lukas Rosol

Every number combines what Alexander Shevchenko does well with what Lukas Rosol allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Alexander Shevchenko wins, best of 3 16%90%: 3%–48% · best of 5: 11%
Serve points won 63.7% / 71.8% Alexander / Lukas · tour 65.7%
Strengths only, no similarity priors 16%serve 63.1% / 71.3%

Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Alexander Shevchenko's record against Lukas Rosol's tactical lookalikes and in their charted head-to-heads (lookalikes: +4.6 on serve, −5.6 on return vs expectation (346 points)). A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.

Head to head, per 100 shots

CareerAlexanderLukas
Direction choice+0.04 ±0.10
better than 68%
−0.27 ±0.17
better than 7%
Shot selection−0.13 ±0.20
better than 35%
−0.18 ±0.18
better than 31%
Execution−0.49 ±0.62
better than 45%
−1.65 ±0.79
better than 7%
Points left on the table2.49 ±0.17
lower than 61%
2.97 ±0.26
lower than 21%

Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.

Serve plan

The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.

Alexander Shevchenko serving

Deuce court

1st serveNowAlexander winsv LukasMatchupOptimal
Wide52%65%80%74.3%±8.147% ▼
Body8%59%67%62.1%±12.60% ▼
T40%66%77%68.4%±8.753% ▲

Optimal v Lukas Rosol: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlexander winsv LukasMatchupOptimal
Wide49%62%78%67.8%±8.862% ▲
Body8%60%66%63.1%±13.30% ▼
T44%61%71%60.2%±9.838% ▼

Optimal v Lukas Rosol: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 per 100 first serves in before the returner adjusts.

Lukas Rosol serving

Deuce court

1st serveNowLukas winsv AlexanderMatchupOptimal
Wide49%66%73%66.4%±7.950%
Body18%63%71%70.7%±12.45% ▼
T32%78%79%81.4%±6.945% ▲

Optimal v Alexander Shevchenko: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLukas winsv AlexanderMatchupOptimal
Wide42%75%73%75.5%±7.555% ▲
Body20%53%63%53.5%±15.86% ▼
T38%68%76%72.6%±8.539%

Optimal v Alexander Shevchenko: +1.2±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.4 per 100 first serves in before the returner adjusts.

Return plan

Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.

Alexander Shevchenko returning

1st serve to the forehand

ReturnNowTourOwnv LukasValue
FH through the middle45%+4.3+3.5−1.2+6.6±2.9
FH crosscourt24%+5.5+1.7−2.0+5.2±4.3
FH down the line11%+1.7+0.6+0.1+2.5±4.2
FH slice through the middle11%−4.2−0.9+0.1−4.9±2.3
FH slice crosscourt5%−4.3−0.4±0.0−4.7±1.6

Lean FH through the middle: +2.9±2.0 per 100 returns v the current mix (245 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LukasValue
BH through the middle36%+6.4+2.5+0.6+9.5±2.8
BH crosscourt27%+8.8+1.3+0.1+10.2±3.5
BH slice through the middle17%−4.2−0.2−0.9−5.3±2.5
BH slice crosscourt10%+0.5−1.2−0.6−1.2±2.8
BH down the line7%+4.2−0.6−3.0+0.6±4.1

Lean BH crosscourt: +5.2±2.8 per 100 returns v the current mix (298 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LukasValue
FH through the middle55%−3.5−0.1−0.6−4.2±2.9
FH crosscourt38%−0.2−0.1−0.3−0.7±4.0
FH down the line7%−1.8−2.8−2.4−7.0±3.5

Lean FH crosscourt: +2.4±3.0 per 100 returns v the current mix (74 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LukasValue
BH through the middle52%−2.9+1.8+1.0−0.1±2.5
BH crosscourt37%+1.0−1.6+1.3+0.7±3.2
BH down the line11%−0.2+1.0−1.9−1.1±4.6

Lean BH crosscourt: +0.6±2.5 per 100 returns v the current mix (238 returns charted, inside the 90% margin)

Lukas Rosol returning

1st serve to the forehand

ReturnNowTourOwnv AlexanderValue
FH through the middle56%+4.3−2.4+1.4+3.3±2.9
FH crosscourt35%+5.5±0.0+3.1+8.6±4.4
FH down the line9%+1.7+0.4+0.7+2.7±3.9

Lean FH crosscourt: +3.5±3.3 per 100 returns v the current mix (94 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlexanderValue
BH through the middle29%+6.4−1.1+2.5+7.9±2.7
BH crosscourt20%+8.8−0.7+1.8+10.0±3.4
BH slice down the line14%−8.4+2.4−1.6−7.6±3.0
BH slice through the middle12%−4.2−1.8+1.7−4.3±2.3
BH down the line9%+4.2−0.2+4.1+8.1±4.1

Lean BH crosscourt: +5.4±2.9 per 100 returns v the current mix (114 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlexanderValue
BH crosscourt39%+1.0+1.1+2.9+5.0±3.0
BH through the middle35%−2.9−2.5+0.9−4.5±2.3
BH down the line17%−0.2+1.7+4.3+5.8±4.3
FH through the middle9%−2.9−1.3−0.8−5.0±1.9

Lean BH crosscourt: +4.1±2.1 per 100 returns v the current mix (54 returns charted)

Rally plan

Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Alexander Shevchenko

Favour

ShotEdgeOwnTheirs
BH to the middle · return+3.7±3.8+3.3+0.4
FH to their forehand · serve +1+2.0±5.8−1.0+3.0
BH to their backhand · return+1.6±4.2+0.9+0.7
FH to their backhand · serve +1+1.5±5.2−2.8+4.3
FH to the middle · serve +1+0.7±3.5−1.0+1.6
FH to their forehand · rally+0.5±5.0−0.5+0.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−3.6±4.8−4.6+1.1
BH to the middle · rally−1.6±2.6+0.4−2.0
BH to their backhand · rally−0.9±2.5−1.0+0.1
FH to the middle · rally−0.5±3.6−1.1+0.5
FH to the middle · return−0.1±3.8+2.3−2.4

Lukas Rosol

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+4.3±4.5+1.0+3.4
BH to their backhand · return+2.8±3.9+0.4+2.3
FH to their forehand · rally+2.2±4.3+0.4+1.8
FH to their forehand · serve +1+2.2±4.9+0.6+1.5
BH to their forehand · rally+1.8±6.1−2.4+4.3
FH to their backhand · rally−0.7±5.0−1.0+0.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−6.2±3.3−6.5+0.3
FH to the middle · return−4.8±3.9−6.3+1.5
FH to the middle · rally−3.3±3.6−4.1+0.8
BH to the middle · rally−2.7±2.8−2.2−0.6
BH to the middle · return−2.6±3.7−4.9+2.3

Against Lukas Rosol-like opponents

Alexander Shevchenko vMatchesServe pts wonReturn pts won
All charted opponents–55.7%32.0%
Players most similar to Lukas Rosol2 63.8%27.8%

Similar by tactical fingerprint: Arthur Fils, Ben Shelton, Arthur Rinderknech, Guy Den Ouden, Zizou Bergs, Holger Rune, Roman Safiullin, Fabio Fognini, Gregoire Barrere. When two players have rarely met, their records against these lookalikes fill the gap.